 The proposed method is able to enhance the spatial resolution of hyperspectral images by fusing them with high-resolution multispectral images. It uses a deep convolutional neural network to extract features from both the hyperspectral image and the multispectral image, and then combines these features using a fully connected layer. This allows for better spatial resolution than existing methods. The proposed method was tested on a virus and Nmap data sets, as well as real Hyperion Sentinel data, and showed promising results. This article was authored by Jingxiong Yang, Yongcheng Zhao, and Jonathan Chong-Wai-Chan.